AIMC Topic: Lymph Nodes
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Convolutional Neural Network of Multiparametric MRI Accurately Detects Axillary Lymph Node Metastasis in Breast Cancer Patients With Pre Neoadjuvant Chemotherapy.
Clinical breast cancer
Jul 13, 2021
BACKGROUND: Accurate assessment of the axillary lymph nodes (aLNs) in breast cancer patients is essential for prognosis and treatment planning. Current radiological staging of nodal metastasis has poor accuracy. This study aimed to investigate the ma...
The predictive power of artificial intelligence on mediastinal lymphnode metastasis.
General thoracic and cardiovascular surgery
Jun 16, 2021
OBJECTIVE: The aim of this study was to create the preoperative predictive model on mediastinal lymph-node metastasis based on artificial intelligence in surgically resected lung adenocarcinoma.
Subcarinal Lymph Node Dissection in Solo Robot-assisted Thoracic Surgery.
The Annals of thoracic surgery
Jun 5, 2021
The surgical instruments used in robot-assisted thoracic surgery are flexible to enable the surgeon to approach the surgical field from any direction. However even in robot-assisted thoracic surgery subcarinal lymph node dissection requires a precise...
Automated mapping and N-Staging of thoracic lymph nodes in contrast-enhanced CT scans of the chest using a fully convolutional neural network.
European journal of radiology
Apr 20, 2021
PURPOSE: To develop a deep-learning (DL)-based approach for thoracic lymph node (LN) mapping based on their anatomical location.
Automated detection and segmentation of thoracic lymph nodes from CT using 3D foveal fully convolutional neural networks.
BMC medical imaging
Apr 13, 2021
BACKGROUND: In oncology, the correct determination of nodal metastatic disease is essential for patient management, as patient treatment and prognosis are closely linked to the stage of the disease. The aim of the study was to develop a tool for auto...
Cystic cervical lymph nodes of papillary thyroid carcinoma, tuberculosis and human papillomavirus positive oropharyngeal squamous cell carcinoma: utility of deep learning in their differentiation on CT.
American journal of otolaryngology
Apr 9, 2021
OBJECTIVES: Cervical lymph nodes with internal cystic changes are seen with several pathologies, including papillary thyroid carcinoma (PTC), tuberculosis (TB), and HPV-positive oropharyngeal squamous cell carcinoma (HPV+OPSCC). Differentiating these...
Distant metastasis time to event analysis with CNNs in independent head and neck cancer cohorts.
Scientific reports
Mar 19, 2021
Deep learning models based on medical images play an increasingly important role for cancer outcome prediction. The standard approach involves usage of convolutional neural networks (CNNs) to automatically extract relevant features from the patient's...
Predicting gastric cancer outcome from resected lymph node histopathology images using deep learning.
Nature communications
Mar 12, 2021
N-staging is a determining factor for prognostic assessment and decision-making for stage-based cancer therapeutic strategies. Visual inspection of whole-slides of intact lymph nodes is currently the main method used by pathologists to calculate the ...
Prediction of Recurrence in Patients with Stage III Colon Cancer Using Conventional Clinicopathological Factors and Peripheral Blood Test Data: A New Analysis with Artificial Intelligence.
Oncology
Feb 24, 2021
BACKGROUND: Survival rate may be predicted by tumor-node-metastasis staging systems in colon cancer. In clinical practice, about 20 to 30 clinicopathological factors and blood test data have been used. Various predictive factors for recurrence have b...
Attention Guided Lymph Node Malignancy Prediction in Head and Neck Cancer.
International journal of radiation oncology, biology, physics
Feb 6, 2021
PURPOSE: Accurate lymph node (LN) malignancy classification is essential for treatment target identification in head and neck cancer (HNC) radiation therapy. Given the constraints imposed by relatively small sample sizes in real-world medical applica...
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